Yingfeng Zheng

This study analyzes AI-generated text infiltration in scientific preprints using LLM detectors, finding widespread use across domains and positive impacts on citation numbers.

HIT-scISOseq improves single-cell isoform sequencing throughput and accuracy, revealing novel transcriptomic features in corneal epithelium injury.

NECAT improves Nanopore read error correction and de novo assembly, achieving higher accuracy and faster performance for genome assembly.

scCAT-seq identifies and quantifies single-cell RNA isoforms using short-read sequencing, revealing novel transcripts and cell-type specific isoforms in DRG neurons and oocytes.